Reference library

Python Code Samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

2 matches
Algorithms & data structures easy

Find Pivot Index in Python

Locate the index where the sum of elements to the left equals the sum to the right, using a single pass with prefix sums.

pivot array prefix-sum
Python
def find_pivot_index(nums):
    total = sum(nums)
    left_sum = 0
    for i, num in enumerate(nums):
        if left_sum == total - left_sum - num:
            return i
        left_sum += num
    return -1


if __name__ == "__main__":
    test_cases = [
        [1, 7, 3, 6, 5, 6],
        [1, 2, 3],
        [2, 1, -…
13 0 Open
Algorithms & data structures easy

Find the Equilibrium Index of a List in Python

Find every index in a list where the sum of elements to its left equals the sum to its right, using a single pass.

equilibrium-index prefix-sums arrays
Python
def find_equilibrium_indexes(arr):
    total = sum(arr)
    left_sum = 0
    indexes = []
    for i, num in enumerate(arr):
        total -= num
        if left_sum == total:
            indexes.append(i)
        left_sum += num
    return indexes

if __name__ == "__main__":
    test = [1, 2, 3, -1, 2, 3]
    result =…
13 0 Open

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Guide: free Python code samples library

Copy-ready Python snippets for learners and developers

PythonSkillset code samples are short, focused examples organised by topic and difficulty. Every snippet is server-rendered HTML — readable by search engines and easy to copy. Open any sample, read the notes, copy the code, then press Try in editor to run it in the browser with Pyodide.

How to use this library

  1. Pick a topic section — strings, lists, files, functions, and more
  2. Open a sample, read How it works, and copy the code block
  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.